On-site
SaaS
greenhouse
About this role
RDQ427R630
This role is in-person and Bay-Area-based by design, so you can be in the room with founders and investors.
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA, to a global organization with over 11,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 most valuable private companies.
About the Role:
Databricks works with founders from the earliest days of their companies, when it is still just a team, an idea, and a lot of unproven AI. The Technical Business Development Manager for the Startup and VC Ecosystem owns the operational engine and the relationships behind that work, and the role is technical. You will run our startup program day to day, sit across from early-stage founders and talk seriously about their AI systems, produce a steady cadence of founder and investor events in San Francisco, and work hand in hand with the events teams at the venture firms whose founders we most want to reach. You will work closely with Databricks Ventures. This role is built to grow: you will start close to the program, the founders, and the events, and over time, take on more of the relationships and the strategy for how Databricks engages the startup ecosystem end-to-end.
This role asks for four things that rarely sit in one person: the discipline of an operator wh
Selling Motion
Buyer Persona
C-Suite
Selling to executive decision-makers
Requirements at a Glance
Typical Day — Sales Rep
Estimates based on role type and selling motion — actual may vary by company.
SaaS — Interview Intel
Typical Sales Cycle
30–90 days (SMB) · 3–9 months (Mid-Market) · 6–18 months (Enterprise)
Common Buyer Objections
- "We're locked into a contract with [competitor]"
- "We built something in-house already"
- "We don't have budget until next quarter"
- "Our team won't adopt another tool"
Key Industry Metrics
Hot Topics to Reference
- • AI-native product disruption
- • PLG vs sales-led motion debate
- • Vertical SaaS consolidation
- • Usage-based pricing models
Use these insights to speak the buyer's language in interviews.
Tags
How do you coach underperforming reps?
Template questionDescribe your forecasting methodology.
Template questionHow do you structure onboarding for new hires?
Template questionThis leadership position involves both strategic planning and hands-on coaching of the sales team.
SaaS sales roles typically involve consultative selling with longer deal cycles.
The US market offers the highest OTE potential globally for sales professionals, with a highly competitive talent landscape.
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